Upper bound on the length of generalized disjunction-free patterns

Marzena Kryszkiewicz
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引用次数: 4

Abstract

A number of lossless representations of frequent patterns were proposed in recent years. The representation that consists of all frequent closed itemsets and the representations based on generalized disjunction-free patterns or on non-derivable itemsets are proven the most concise ones. Experiments show further that the latter ones are by a few orders of magnitude more concise (and determinable) than the former one. As follows from experiments, the representations based on generalized disjunction-free patterns are also more concise than the available in the literature representations of frequent patterns, which determine supports of patterns in an approximate way. In this paper, we provide an upper bound on the length of generalized disjunction-free patterns. The bound determines the maximum number of scans of the database carried out by a priori-like algorithms discovering the representations based on generalized disjunction-free patterns.
广义无析取模式长度的上界
近年来提出了许多频繁模式的无损表示方法。证明了由所有频繁闭项集组成的表示和基于广义无析取模式或基于不可导项集的表示是最简洁的表示。实验进一步表明,后者比前者更简洁(和可确定)几个数量级。实验结果表明,基于广义无析取模式的表示也比现有的频繁模式表示更简洁,后者以近似的方式确定模式的支持度。本文给出了广义无析取模式长度的上界。该边界决定了由基于广义无析取模式发现表示的类优先级算法执行的数据库扫描的最大次数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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